In the next video we'll set up the Flutter mobile apps to make use of the emulator and then we can start interacting with the db. This will ensure that you have data to develop against.
Flutter firebase emulator code#
If you run the code now and build you should see that all merchants has 30 products underneath it with data in there.Īnd that's all we'll do for now. We'll put the below before we do the export of the functions. Open up your index.ts file where we will add some code to check if we're running on the emulator. Now that we have that lets do the faking! Implementation With the models above faked we'll be able to start building our UI for fetching and showing Merchants and products. Category: Singular because we'll put it under a grouped list for that category.Categories: This will be the cuisines for the food delivery version.Lets cover the data we want based on the designs above Merchant We know we'll have a Merchant model and associated collection. We documented it all in the BoxtOut Wiki. Data Populationīased on our planning we know how our collections will work. Lets go over the actual data required to be populated. Lets take a look at the UI we want to build and then determine what we need at minimum to develop majority of the functionality.īased on the designs we can see that we need to list some restaurants with their images and also some products with their data associated. We don't need to populate the reviews because we don't even have any products to show. We will then use this to populate our database based on what we want to start building in the app. Faker will provide you with values for certain properties like names, dates, product names, ratings etc. We'll use the popular faker.js package to get fake data so we don't have to generate it. In this tutorial we'll be covering #2 and setting up our local development suite. But for now I do not know the total correct process or code example to. I learned that I can save my openai apikey somewhere in the firebase and let flutter client visit the firebase to get the access to openai. Here we check if we're running on the emulator and if we are we prepopulate the database with the information that we want. I am trying using ability of openai for my flutter app, but for now I don't have experience to save apikey safely and efficiently etc.
This is a method that I've shown in my abstraction to improve development speed tutorial
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